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CMU-ISR-10-108
Institute for Software Research
School of Computer Science, Carnegie Mellon University
CMU-ISR-10-108
Empirical Models of Privacy
in Location Sharing
Eran Toch, Justin Cranshaw, Jason Hong,
Patrick Kelly, Janice Tsai, Lorris Cranor, Norman Sadeh
March 2010
An expanded version of this work appeared in the
Proceedings of the 12th ACM International Conference on Ubiquitous Computing, Copenhagen, Denmark,
September 2010.
CMU-ISR-10-108.pdf
Keywords: Moble location sharing technology, mobile social,
information disclosure, privacy
The rapid adoption of location tracking and mobile social networking
technologies raises significant privacy challenges. Today our understanding
of people's location sharing privacy preferences remains very limited,
including how these preferences are impacted by the type of location tracking
device or the nature of the locations visited. To address this gap, we
deployed Locaccino, a mobile location sharing system, in a four week long
field study, where we examined the behavior of study participants (n=28)
who shared their location with their acquaintances (n = 373.) Our results
show that users appear more comfortable sharing their presence at locations
visited by a large and diverse set of people. Our study also indicates that
people who visit a wider number of places tend to also be the subject of a
greater number of requests for their locations. Over time these same people
tend to also evolve more sophisticated privacy preferences, reflected by an
increase in time- and location-based restrictions. We conclude by discussing
the implications our findings.
29 pages
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